{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "e7a53938",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Requirement already satisfied: tensorflow==2.14.0 in c:\\users\\nares\\appdata\\local\\packages\\pythonsoftwarefoundation.python.3.10_qbz5n2kfra8p0\\localcache\\local-packages\\python310\\site-packages (from -r requirements.txt (line 2)) (2.14.0)\n",
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      "\n",
      "Successfully installed bleach-6.2.0 captum-0.8.0 cloudpickle-3.1.1 filelock-3.18.0 jinja2-3.1.6 kaggle-1.7.4.5 llvmlite-0.44.0 mpmath-1.3.0 narwhals-1.48.1 networkx-3.4.2 numba-0.61.2 plotly-6.2.0 python-slugify-8.0.4 shap-0.48.0 slicer-0.0.8 sympy-1.14.0 text-unidecode-1.3 torch-2.7.1 webencodings-0.5.1\n",
      "Note: you may need to restart the kernel to use updated packages.\n"
     ]
    }
   ],
   "source": [
    "%pip install -r requirements.txt "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "48443a62",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Downloading from https://www.kaggle.com/api/v1/datasets/download/bjoernjostein/china-physiological-signal-challenge-in-2018?dataset_version_number=1...\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 824M/824M [00:26<00:00, 32.9MB/s] \n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Extracting files...\n",
      "Added C:\\Users\\nares\\.cache\\kagglehub\\notebooks\\bjoernjostein\\physionet-challenge-utility-script\\output\\versions\\69 to system path\n",
      "Data source import complete.\n"
     ]
    }
   ],
   "source": [
    "import kagglehub\n",
    "bjoernjostein_georgia_12lead_ecg_challenge_database_path = kagglehub.dataset_download('bjoernjostein/georgia-12lead-ecg-challenge-database')\n",
    "bjoernjostein_st_petersburg_incart_12lead_arrhythmia_database_path = kagglehub.dataset_download('bjoernjostein/st-petersburg-incart-12lead-arrhythmia-database')\n",
    "bjoernjostein_ptbxl_electrocardiography_database_path = kagglehub.dataset_download('bjoernjostein/ptbxl-electrocardiography-database')\n",
    "bjoernjostein_ptb_diagnostic_ecg_database_path = kagglehub.dataset_download('bjoernjostein/ptb-diagnostic-ecg-database')\n",
    "bjoernjostein_china_physiological_signal_challenge_in_2018_path = kagglehub.dataset_download('bjoernjostein/china-physiological-signal-challenge-in-2018')\n",
    "bjoernjostein_china_12lead_ecg_challenge_database_path = kagglehub.dataset_download('bjoernjostein/china-12lead-ecg-challenge-database')\n",
    "bjoernjostein_physionet_snomed_mappings_path = kagglehub.dataset_download('bjoernjostein/physionet-snomed-mappings')\n",
    "bjoernjostein_physionet_challenge_models_path = kagglehub.dataset_download('bjoernjostein/physionet-challenge-models')\n",
    "bjoernjostein_physionet_challenge_utility_script_path = kagglehub.utility_script_install('bjoernjostein/physionet-challenge-utility-script')\n",
    "\n",
    "print('Data source import complete.')"
   ]
  }
 ],
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